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持续血糖监测中的临床决策数据丢失的后果:回顾性队列研究
Niala den Braber1,2, Carlijn I R Braem1,2, Miriam M R Vollenbroek-Hutten1
1Biomedical Signal and Systems, Faculty of Electrical Engineering, Mathematics And Computer Science, University of Twente, Enschede, Netherlands.
Interactive journal of medical research
|July 31, 2024
概括
持续血糖监测 (CGM) 中缺少的数据对血糖指标的临床解释的影响很小,即使在14天的记录中,数据损失高达30%. 这一发现对于了解糖尿病管理至关重要.
科学领域:
- 内分泌学和糖尿病研究研究
- 医疗器械数据分析 数据分析
- 临床信息学 临床信息学
背景情况:
- 缺乏数据对持续血糖监测 (CGM) 的影响尚不清楚,但它可能会影响患者的治疗决策.
- 准确解释CGM数据对于有效的糖尿病管理至关重要.
研究的目的:
- 评估数据丢失对来自单个CGM记录的关键葡萄糖指标的影响.
- 评估数据丢失对糖尿病患者临床决策的影响.
主要方法:
- 使用FreeStyle Libre传感器收集了1型和2型糖尿病患者的CGM数据.
- 在连续CGM数据集 (7-28天) 中模拟数据丢失 (5%-50%).
- 计算的葡萄糖指标 (例如,范围以下的时间 - TBR,TBR 2级 - TBR2) 和因数据丢失而发现的专家定义错误 (εEPB).
主要成果:
- 在14天的记录中,高达30%的数据丢失对葡萄糖指标的临床解释产生了很小的影响.
- 专家小组边界误差 (εEPB) 在TBR的范围从0%到20.0%,在TBR2的范围从0%到5.4%,数据丢失为5%至50%.
- 在少数病例 (0.3%-6.1%) 中,TBR和TBR2发作消失了,数据丢失率为30%,但初始值很小 (<0.1%).
结论:
- 在14天的CGM记录中,数据损失高达30%,对葡萄糖指标的临床解释的影响很小.
- 这表明当前的CGM数据,即使有一些缺失的值,仍然可以可靠地用于糖尿病管理中的临床决策.
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